Data Scientist (Services)
The world is changing at an accelerating rate. But we cannot take in the information fast enough, let alone make sense of it. We are fundamentally limited by the speed at which we read and write — the speed of human thought. The challenges facing decision-makers today require a radically new technology.
Primer is at the forefront of the natural language processing revolution. Our artificial intelligence platform is capable of reading text at a rate of millions of documents per hour, extracting information and updating a knowledge graph of billions of entities. It is capable of answering natural language questions and generating the first draft of natural language analytical reports in seconds. Our mission is to empower our customers by vastly reducing the cost of curiosity. What once took days of research can happen instantly.
Our customers include some of the world’s largest corporations, financial institutions, and government agencies in the world. You can learn more about Primer's technology and the problems we solve at our blog, as well as in recent media coverage of our work.
The Services team is a jack-of-all-trades organization that serves as a key interface between individual clients and the broader Primer organization. Our charter is: (1) work closely with clients to discover the best use of Primer’s NLP/NLG algorithms for their needs; (2) prototype new algorithms, data pipelines, and visualizations; and (3) channel client feedback and algorithmic learnings back to Primer to drive future product development.
- Support the ideation and implementation of solutions and feature sets for the customers, partner with Primer’s product and engineering organizations to create and deliver.
- Act as a full-stack everything: data scientist, engineer, and customer liaison for Primer.
- Partner with product and engineers at Primer to identify and prioritize new features and algorithms based on customer engagement and feedback.
- Build ways to analyze and understand customer engagement and product performance through modeling and data visualization.
- Academic background in Computer Science, Statistics, Engineering, Economics, or quantitative discipline
- 3+ years of professional experience in the areas of developing and deploying machine learning and NLP-based solutions.
- Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras
- Proven experience working with a variety of data sets, framing customer problems and use cases, and building data science models.
- Understanding of NLP topics: event and topic detection, relation, and extraction; pattern detection; entity recognition; and clustering and classification models.
- Ability to think about solutions from a customer perspective, establish conceptual connections between requirements and solutions.
- Experience working with AWS, Docker, and APIs.
- Excellent communication skills – you will be the face of Primer to customers’ organizations.
- United States citizenship is required for this position as a result of contractual requirements with the United States government.
Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.